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Cited by 270

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Determinants and Economic Consequences of Non-financial Disclosure Quality

Open access
Gao, Fang, Dong, Yi, Ni, Chenkai, Fu, Renhui·2016·European Accounting Review

Abstract

This paper examines the determinants and economic consequences of non-financial disclosure quality, which is measured according to the ratings of corporate social responsibility (CSR) disclosure provided by the Ministry of Economic Affairs in the Netherlands. We find that firms with better CSR performance, greater external financing needs, and stronger corporate governance tend to provide higher quality CSR disclosures. In return, these firms gain greater analyst coverage, higher levels of institutional ownership, greater stock liquidity, higher valuations in SEOs, and lower yields to maturity in bond issuances. These benefits apply largely to firms with strong CSR performance. Collectively, our findings suggest that higher quality CSR disclosures deliver economic benefits.

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Crossref · 10.1080/09638180.2015.1013049

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Metadata

Authors
Gao, F., Dong, Y., Ni, C., & Fu, R.
Venue
European Accounting Review
Published
2015-03-06
Volume
25
Issue
2
Pages
287-317
ISSN
  • 0963-8180 (ISSN-L)
  • 1468-4497
OpenAlex
W3125872665
Cited by
270
References
9
FWCI
17.78
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Determinants and Economic Consequences of Non-financial Disclosure Quality. https://app.cochat.ai/papers/10.1080/09638180.2015.1013049
The paper
Gao, F., Dong, Y., Ni, C., & Fu, R. (2016). Determinants and Economic Consequences of Non-financial Disclosure Quality. European Accounting Review. https://doi.org/10.1080/09638180.2015.1013049

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.